Group 26
Materials and Methods
We performed our analysis using \(\color{red}{\text{Tidyverse}}\).
Before cleaning and augmentation:
5735 patients
62 attributes
After cleaning and augmentation:
5612 patients
53 attributes
Materials and Methods
Familiarize ourselves with the data by extracting different information about the attributes and made numerous plots
Created summaries of different attributes, to find what makes sense to analyse
We used histograms because they are easy to read and interperate, while also showing a lot of information
Investigating the mean blood pressure with different diseases
- Bimodal distributions
- Seems that mean blood pressure is higher in patients without RHC
How Your Medical Insurance Influences Your Survival Chances
- Most patients have low income
- Patients are mostly covered by Medicare or Private medical assurance
- Individuals in lower income categories have a higher mortality
- Individuals covered by Medicare have the highest mortality
PCA
Modelling
# A tibble: 10 × 4
Diagnosis Coefficient Intercept p.value
<chr> <dbl> <dbl> <dbl>
1 multiple diagnosis 0.0180 -0.163 0.359
2 seps 0.0292 -1.30 0.00222
3 card 0.0257 -0.754 0.0000221
4 resp 0.0240 -0.871 0.0000290
5 renal 0.00959 0.429 0.684
6 hema 0.0191 0.185 0.863
7 gastr 0.0272 -0.771 0.00937
8 trauma 0.0170 -1.56 0.147
9 neuro 0.0183 -0.223 0.358
10 meta 0.0156 -0.552 0.468 